Patricio Muńoz

4.8k total citations · 1 hit paper
115 papers, 2.9k citations indexed

About

Patricio Muńoz is a scholar working on Plant Science, Genetics and Agronomy and Crop Science. According to data from OpenAlex, Patricio Muńoz has authored 115 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Plant Science, 39 papers in Genetics and 13 papers in Agronomy and Crop Science. Recurrent topics in Patricio Muńoz's work include Berry genetics and cultivation research (34 papers), Genetic Mapping and Diversity in Plants and Animals (33 papers) and Genetic and phenotypic traits in livestock (29 papers). Patricio Muńoz is often cited by papers focused on Berry genetics and cultivation research (34 papers), Genetic Mapping and Diversity in Plants and Animals (33 papers) and Genetic and phenotypic traits in livestock (29 papers). Patricio Muńoz collaborates with scholars based in United States, Brazil and Chile. Patricio Muńoz's co-authors include Márcio F. R. Resende, Luís Felipe V. Ferrão, Matias Kirst, Rodrigo R. Amadeu, Marcos Deon Vilela de Resende, Juliana Benevenuto, John M. Davis, G. F. Peter, Salvador A. Gezan and Ivone de Bem Oliveira and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Patricio Muńoz

109 papers receiving 2.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Metabolomic selection for enhanced fruit flavor

2022 130 citations Vincent Colantonio, Luís Felipe V. Ferrão et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Patricio Muńoz United States	29	1.8k	1.3k	428	363	237	115	2.9k
Márcio F. R. Resende United States	27	2.1k 1.1×	1.5k 1.1×	784 1.8×	450 1.2×	256 1.1×	89	3.4k
Marcos Deon Vilela de Resende Brazil	34	4.4k 2.4×	1.9k 1.5×	433 1.0×	892 2.5×	613 2.6×	329	5.9k
Freddy Mora Chile	28	1.8k 1.0×	609 0.5×	476 1.1×	237 0.7×	227 1.0×	154	2.4k
Roland Vencovsky Brazil	27	2.1k 1.2×	936 0.7×	471 1.1×	264 0.7×	306 1.3×	157	2.9k
Elhan S. Ersoz United States	17	2.8k 1.5×	2.4k 1.8×	829 1.9×	183 0.5×	282 1.2×	17	3.9k
Nicholas A. Tinker Canada	34	4.0k 2.2×	1.8k 1.3×	624 1.5×	101 0.3×	502 2.1×	100	4.5k
Alison Smith Australia	31	3.1k 1.7×	1.8k 1.4×	195 0.5×	227 0.6×	909 3.8×	79	3.9k
Marcos Malosetti Netherlands	31	3.0k 1.6×	1.7k 1.3×	251 0.6×	73 0.2×	449 1.9×	56	3.3k
Richard W. Zobel United States	34	4.3k 2.3×	1.0k 0.8×	345 0.8×	148 0.4×	847 3.6×	78	4.8k
Jessica Rutkoski United States	35	4.7k 2.6×	3.1k 2.4×	402 0.9×	85 0.2×	433 1.8×	52	5.3k

Countries citing papers authored by Patricio Muńoz

Since Specialization

Citations

This map shows the geographic impact of Patricio Muńoz's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Patricio Muńoz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patricio Muńoz more than expected).

Fields of papers citing papers by Patricio Muńoz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patricio Muńoz. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Patricio Muńoz. The network helps show where Patricio Muńoz may publish in the future.

Co-authorship network of co-authors of Patricio Muńoz

This figure shows the co-authorship network connecting the top 25 collaborators of Patricio Muńoz. A scholar is included among the top collaborators of Patricio Muńoz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Patricio Muńoz. Patricio Muńoz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Teresi, Scott J., Mélanie Body, Alexandra M. Fulton, et al.. (2025). Deciphering the underlying genetics of galling resistance to the blueberry stem gall wasp in northern highbush blueberry. Horticulture Research. 12(11). uhaf197–uhaf197.

Li, Zhengkun, et al.. (2025). In-field blueberry fruit phenotyping with a MARS-PhenoBot and customized BerryNet. Computers and Electronics in Agriculture. 232. 110057–110057. 10 indexed citations

Benevenuto, Juliana, et al.. (2025). High-density linkage map and QTL analyses for fruit quality traits in the wild blueberry relative Vaccinium stamineum. G3 Genes Genomes Genetics. 16(1).

Peixoto, Marco Antônio, Rodrigo R. Amadeu, Leonardo Lopes Bhering, et al.. (2024). SimpleMating: R‐package for prediction and optimization of breeding crosses using genomic selection. The Plant Genome. 18(1). e20533–e20533. 1 indexed citations

Ferrão, Luís Felipe V., Camila Ferreira Azevedo, Juliana Benevenuto, et al.. (2024). Inference of the genetic basis of fruit texture in highbush blueberries using genome-wide association analyses. Horticulture Research. 11(10). uhae233–uhae233. 3 indexed citations

Azevedo, Camila Ferreira, et al.. (2024). Phenomic‐assisted selection: Assessment of the potential of near‐infrared spectroscopy for blueberry breeding. SHILAP Revista de lepidopterología. 7(1).

Ferrão, Maria Amélia Gava, Marcelo Curitiba Espíndula, Aymbiré Francisco Almeida da Fonseca, et al.. (2024). A comparison of genomic and phenomic selection methods for yield prediction in Coffea canephora. SHILAP Revista de lepidopterología. 7(1). 9 indexed citations

Benevenuto, Juliana, et al.. (2023). Genome-wide association study and transcriptome analysis reveal candidate genes for off-season flowering in blueberry. Scientia Horticulturae. 325. 112643–112643. 3 indexed citations

Colantonio, Vincent, Luís Felipe V. Ferrão, Denise M. Tieman, et al.. (2022). Metabolomic selection for enhanced fruit flavor. Proceedings of the National Academy of Sciences. 119(7). 130 indexed citations breakdown →

10.

Ferrão, Luís Felipe V., P. M. Lyrene, Rodrigo R. Amadeu, et al.. (2022). Terpene volatiles mediates the chemical basis of blueberry aroma and consumer acceptability. Food Research International. 158. 111468–111468. 47 indexed citations

11.

Du, Dongliang, Qibin Yu, Mikeal L. Roose, et al.. (2022). Genome-Wide Association Study of Healthful Flavonoids among Diverse Mandarin Accessions. Plants. 11(3). 317–317. 7 indexed citations

12.

Rios, Esteban F., Márcio F. R. Resende, Matias Kirst, et al.. (2021). Genomic prediction in family bulks using different traits and cross-validations in pine. G3 Genes Genomes Genetics. 11(9). 9 indexed citations

13.

Zheng, Chaozhi, Rodrigo R. Amadeu, Patricio Muńoz, & Jeffrey B. Endelman. (2021). Haplotype reconstruction in connected tetraploid F1 populations. Genetics. 219(2). 25 indexed citations

14.

Amadeu, Rodrigo R., Patricio Muńoz, Chaozhi Zheng, & Jeffrey B. Endelman. (2021). QTL mapping in outbred tetraploid (and diploid) diallel populations. Genetics. 219(3). 13 indexed citations

15.

Rios, Esteban F., José Aírton Rodrigues Nunes, Salvador A. Gezan, et al.. (2020). Genotype‐by‐environment interaction for turfgrass quality in bermudagrass across the southeastern United States. Crop Science. 60(6). 3328–3343. 13 indexed citations

16.

Rios, Esteban F., José Aírton Rodrigues Nunes, Salvador A. Gezan, et al.. (2020). Multispecies genotype × environment interaction for turfgrass quality in five turfgrass breeding programs in the southeastern United States. Crop Science. 61(5). 3080–3096. 14 indexed citations

17.

Oliveira, Ivone de Bem, Márcio F. R. Resende, Luís Felipe V. Ferrão, et al.. (2019). Genomic Prediction of Autotetraploids; Influence of Relationship Matrices, Allele Dosage, and Continuous Genotyping Calls in Phenotype Prediction. G3 Genes Genomes Genetics. 9(4). 1189–1198. 56 indexed citations

18.

Dubeux, José Carlos Batista, Marcelo Wallau, Yoana C. Newman, Patricio Muńoz, & K. H. Quesenberry. (2017). Winter Forage Legume Guide. SHILAP Revista de lepidopterología. 2017(6). 2 indexed citations

19.

Müller, Bárbara S. F., Leandro G. Neves, Janeo Eustáquio de Almeida Filho, et al.. (2017). Genomic prediction in contrast to a genome-wide association study in explaining heritable variation of complex growth traits in breeding populations of Eucalyptus. BMC Genomics. 18(1). 524–524. 62 indexed citations

20.

Westbrook, Jared W., Vikram E. Chhatre, Le‐Shin Wu, et al.. (2015). A Consensus Genetic Map for Pinus taeda and Pinus elliottii and Extent of Linkage Disequilibrium in Two Genotype-Phenotype Discovery Populations of Pinus taeda. G3 Genes Genomes Genetics. 5(8). 1685–1694. 34 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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